Lynwood High School teacher Jacqueline Oropeza uploaded slides from a presentation about research papers and properly citing sources using the MLA format into MagicSchool AI and prompted it to create these guided notes and practice problems.
Teachers spend significant time creating lesson plans, presentations, practice problems, and other instructional materials to ensure lessons are rigorous and accessible. Generative AI can reduce this workload by producing high-quality instructional materials quickly, allowing educators to focus more energy on delivering instruction and supporting students directly.
AI tools like Google’s NotebookLM can help students break down dense academic content, organize evidence, and stay engaged in rigorous research assignments. This strategy explores how educators can use NotebookLM to provide multiple entry points to complex texts, promote peer collaboration, and support diverse learners. By thoughtfully integrating AI into reading and writing routines, teachers can increase student independence and improve academic outcomes without reducing cognitive rigor.
This executive summary of FullScale’s (formerly operating as The Learning Accelerator) research brief, “Innovative Approaches to Learning Acceleration Within the Core of K-12 Instruction: Educator Insights into Scaling and Implementation,” highlights key findings from Mathematica’s evaluation of the Accelerating Adoption Network. Focusing on educator perspectives, this summary explores what teachers experienced on the ground while implementing and scaling 10 technology-enabled innovations designed to accelerate student learning within core instruction. Explore the full brief here.
This second brief from FullScale (formerly operating as The Learning Accelerator), “Innovative Approaches to Learning Acceleration Within the Core of K-12 Instruction: Educator Insights into Scaling and Implementation,” shares on-the-ground perspectives from educators participating in FullScale’s Accelerating Adoption Network. Building on initial observations from Mathematica’s evaluation, this brief explores what educators actually experienced as they worked to scale the adoption of 10 technology-enabled innovations designed to accelerate student learning within core instruction. Explore this brief’s standalone executive summary.
This problem of practice provides three approaches school and district leaders can take to build the prerequisite conditions for AI to be used powerfully, equitably, and responsibly.
This problem of practice offers three approaches that teachers can effectively and responsibly use to enhance teaching and learning by implementing generative AI tools.
This problem of practice provides teachers with guidance on how to support students to develop their ability to use generative AI effectively and responsibly in their learning.
Scaling in dynamic conditions presents unique challenges. This strategy card provides a focused, mission-aligned approach to support purposeful growth amid uncertainty.
This strategy highlights how United Charter High School Humanities II developed and implemented a staff survey to understand how educators were currently using AI and what support they needed. The approach was later scaled across the seven-school United Charter High Schools network, with survey findings directly informing the development of AI policy and targeted professional learning.
